AIMC Topic: Cornea

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Importance and use of corneal biomechanics and its diagnostic utility.

Cirugia y cirujanos Jan 1, 2023
The study of corneal biomechanics has become relevant in recent years due to its possible applications in the diagnosis, management, and treatment of various diseases such as glaucoma, keratorefractive surgery and different corneal diseases. The clin...
Cornea Intraocular Pressure Artificial Intelligence Biomechanical Phenomena Dilatation, Pathologic Humans Glaucoma
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Convolutional neural network-based common-path optical coherence tomography A-scan boundary-tracking training and validation using a parallel Monte Carlo synthetic dataset.

Optics express Jul 4, 2022
We present a parallel Monte Carlo (MC) simulation platform for rapidly generating synthetic common-path optical coherence tomography (CP-OCT) A-scan image dataset for image-guided needle insertion. The computation time of the method has been evaluate...
Humans Neural Networks, Computer Tomography, Optical Coherence Monte Carlo Method Radionuclide Imaging Cornea Animals Swine
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Segmentation and Evaluation of Corneal Nerves and Dendritic Cells From In Vivo Confocal Microscopy Images Using Deep Learning.

Translational vision science & technology Jun 1, 2022
PURPOSE: Segmentation and evaluation of in vivo confocal microscopy (IVCM) images requires manual intervention, which is time consuming, laborious, and non-reproducible. The aim of this research was to develop and validate deep learning-based methods...
Microscopy, Confocal Cornea Deep Learning Dendritic Cells Algorithms
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A Deep Learning-Based Framework for Accurate Evaluation of Corneal Treatment Zone After Orthokeratology.

Translational vision science & technology Dec 1, 2021
PURPOSE: Given the robust effectiveness of inhibiting myopia progression, orthokeratology has gained increasing popularity worldwide. However, identifying the boundary and the center of reshaped corneal area (i.e., treatment zone) is the main challen...
Humans Cornea Corneal Topography Orthokeratologic Procedures Myopia Deep Learning
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A Hybrid Deep Learning Construct for Detecting Keratoconus From Corneal Maps.

Translational vision science & technology Dec 1, 2021
PURPOSE: To develop and assess the accuracy of a hybrid deep learning construct for detecting keratoconus (KCN) based on corneal topographic maps.
Retrospective Studies Cornea Deep Learning Keratoconus Corneal Topography Humans
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Generative Adversarial Network Based Automatic Segmentation of Corneal Subbasal Nerves on In Vivo Confocal Microscopy Images.

Translational vision science & technology May 3, 2021
PURPOSE: In vivo confocal microscopy (IVCM) is a noninvasive, reproducible, and inexpensive diagnostic tool for corneal diseases. However, widespread and effortless image acquisition in IVCM creates serious image analysis workloads on ophthalmologist...
Humans Neural Networks, Computer Algorithms Cornea Image Processing, Computer-Assisted Microscopy, Confocal
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Combining In Vivo Corneal Confocal Microscopy With Deep Learning-Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus Infection.

Cornea May 1, 2021
PURPOSE: To characterize corneal subbasal nerve plexus features of normal and simian immunodeficiency virus (SIV)-infected macaques by combining in vivo corneal confocal microscopy (IVCM) with automated assessments using deep learning-based methods c...
Nerve Fibers Macaca mulatta Eye Infections, Viral Acute Disease RNA, Viral Trigeminal Nerve Diseases Macaca nemestrina Simian Acquired Immunodeficiency Syndrome Simian Immunodeficiency Virus Male Middle Aged Deep Learning Real-Time Polymerase Chain Reaction Microscopy, Confocal Disease Models, Animal Female Cornea Animals Humans Neural Networks, Computer
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Artificial Intelligence for Refractive Surgery Screening: Finding the Balance Between Myopia and Hype-ropia.

JAMA ophthalmology May 1, 2020
Humans Myopia Deep Learning Refractive Surgical Procedures Artificial Intelligence Cornea
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Multiple-Image Deep Learning Analysis for Neuropathy Detection in Corneal Nerve Images.

Cornea Mar 1, 2020
PURPOSE: Automated classification of corneal confocal images from healthy subjects and diabetic subjects with neuropathy.
Microscopy, Confocal Nerve Fibers Diabetic Neuropathies Corneal Diseases Ophthalmic Nerve Male Middle Aged Deep Learning Reproducibility of Results Cornea Humans Algorithms Female
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[Assistant diagnose for subclinical keratoconus by artificial intelligence].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology Dec 11, 2019
To investigate the diagnosis of normal cornea, subclinical keratoconus and keratoconus by artifical intelligence. Diagnostic study. From January 2016 to January 2019, who admitted to Tianjin Eye Hospital from 18 to 48 years old, with an average of ...
Middle Aged Humans Artificial Intelligence Adolescent Keratoconus Young Adult ROC Curve Corneal Topography Adult Sensitivity and Specificity Corneal Pachymetry Cornea
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